- Advanced Vision and Imaging
- 3D Shape Modeling and Analysis
- Human Pose and Action Recognition
- Medical Image Segmentation Techniques
- Cerebral Palsy and Movement Disorders
- Medical Imaging and Analysis
- Smart Agriculture and AI
- Autism Spectrum Disorder Research
- Children's Physical and Motor Development
Central China Normal University
2021-2024
Wuhan University
2024
Wuhan Polytechnic University
2017
Various applications require realistic, artifact-free, and animatable 3D avatars. However, traditional morphable models (3DMMs) produce heads but fail to capture accurate geometries details, while existing deep implicit functions have been shown achieve realistic reconstructions suffer from artifacts struggle yield that are easy animate. To reconstruct high-fidelity, artifact-less, single-view images, we leverage semantics bridge the best properties of 3DMMs propose SeIF—a...
To effectively evaluate the gross motor ability of autistic children, we proposed a method computerised evaluation skills (CEGM). The CEGM integrates Dynamic Time Warping (DTW) and OpenPose technology to automatically detect key joints return score. Ten items were selected for based on subtest Psychoeducational Profile – Third Edition (PEP-3) scale, including upper limb movement, lower body coordination performance. 30 participants (males: 23, female: 7) with an average age 5.00 years...
Cotton is the main plant of braided fabric in China, production cotton planting important, but are caused by diseases and insect pests easily planting, so process farming, some useful information should be achieved can analyzed effectively, accurate effective actions done.In paper, leaf as research object, introduced, how to detect important step modern agricultural digital technology.In object research, features apple leafs reserved, special disease region emphasized effective.The novel...